AI Business Analyst

About The Business

Our client is a major insurance provider undertaking a significant platform integration following a recent acquisition. As part of this integration, the business is adding to its core mainframe policy administration platform, which supports policy servicing, billing, payments, renewals, product changes and regulatory compliance.

The business is investing in AI capability as part of this transition, with a pilot programme underway to explore how Generative AI (and, over time, agentic AI) can be applied across legacy COBOL/JCL batch environments, Salesforce, and VPN infrastructure, including exploring how legacy code could ultimately be modernised and migrated to more contemporary, cloud-ready languages.

About The Role

A great opportunity exists for a Senior AI Business Analyst to join a Business Analysis chapter, working directly with the Product Owner of a core platform squad. This role sits at the intersection of business analysis and applied AI, using AI tools to bring clarity, structure and speed to two traditionally manual, high-effort domains: batch job/mainframe documentation and production support ticket triage.

This is a hands-on, technical BA role. You will not just write requirements, you will actively use AI/GenAI and advanced analytics to interrogate legacy systems and operational data, and turn the outputs into documentation, insights and improvement recommendations that the wider team can act on.

Key Responsibilities

Batch job & mainframe documentation (using AI)

• Analyse existing mainframe and batch jobs (e.g. COBOL/JCL, schedules, JCL programs) using AI tools to describe what each job does and its business purpose.
• Document the sequence and dependency chains between jobs and job streams.
• Identify the downstream impact if a job fails to run, missed SLAs, data inconsistencies, etc.
• Capture existing error-handling and recovery procedures.
• Build and maintain an AI-supported catalogue of batch jobs, schedules and procedures for all relevant JCL programs and batch chains, validated with SMEs and kept current in Confluence or other agreed repositories.

Performance & optimisation analysis (using AI/ML)

• Use AI/ML and advanced analytics to investigate performance deviations in batch jobs (e.g. jobs planned for 20 minutes that run for 2 hours).
• Propose and document optimisation options with application and infrastructure teams (e.g. code changes, index tuning, re-scheduling, parallelisation, parameter changes).
• Define KPIs and dashboards to monitor improvements and track the impact of changes implemented.

AI-supported production support triage

• Analyse production support tickets and incident data to design AI-supported triage and classification approaches.
• Categorise incoming tickets and identify likely root-cause areas and whether code changes may be required.
• Suggest the most appropriate team or queue for routing, including exploring options to group related tickets.
• Detect when information is incomplete, and use AI to automatically generate clear, concise clarification questions back to the requestor.

Core BA activities

• Use AI tools alongside JIRA and Confluence to document user stories and functional specifications.
• Maintain high-quality documentation throughout the delivery lifecycle and ensure traceability from requirements through to delivery.
• Conduct impact assessments across core and dependent systems (legacy, customer-facing, automated and AI systems, etc.).
• Facilitate requirement refinement sessions, walkthroughs and other agile ceremonies as required.
• Ensure alignment across product, delivery, engineering and business operations stakeholders.
• Guide testers on test scenarios, support UAT, release readiness activities and post-release checks.
• Provide specialist system expertise to business operations, production support and root-cause investigations when required.

What You'll Bring

• Practical experience using AI/ML or Generative AI for code understanding/job documentation, log and performance analysis, and/or ticket triage.
• Solid understanding of batch processing concepts: scheduling, dependencies, SLAs, backup/recovery, and error handling.
• Experience in insurance or another highly regulated industry is an advantage.
• Strong analytical and problem-solving skills, with a keen ability to identify opportunities for automation and transformation.
• An AI-first mindset, with experience working with or specifying AI-enabled solutions, and awareness of data privacy and the need for human oversight.